shreyahegde18 Goto Github PK

active-traders

A problem where an institutional broker wants to review their book of customers to see which are most active.

blackbird_t1

block1-app

cancer-cell-detection-using-the-ham10000-dataset

The problem is to classify skin cancer lesions into seven different classes using the HAM10000 dataset. The goal is to develop a machine learning model that can accurately classify skin lesions based on their images

chat

chat-gpt-prompt

trials with openAI

chat-with-multiple-pdfs

chatbot-for-mental-health-support

codeqai

Local first semantic code search and chat powered by vector embeddings and LLMs

dip

exploratory-data-analysis

hands-on-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

image-compression-using-svd

Singular Value Decomposition aka SVD is one of many matrix decomposition Technique that decomposes a matrix into 3 sub-matrices namely U, S, V where U is the left eigenvector, S is a diagonal matrix of singular values and V is called the right eigenvector. We can reconstruct SVD of an image by using linalg.svd() method of NumPy module.

km-miles

conversion of km to miles and vice versa

literary-style-transfer

machine-learning

basic regression and classification models

my-first-apk

news-research-tool

A Website to extract news from URLs and generate desired answer for any relevant question.

object-detection

python-development

random-color-genarator

restaurant_name_generator

semantic_search-_gen_ai

shreyahegde18

Shreya Hegde Portfolio

simple_artificial_neural_network

softnerve-assessment

stadium-seat-booking-system

People watch cricket, football, hockey, and other games at stadiums. Reservations are essential to watch these games. Getting a seat to watch a game can be difficult. The stadium seat booking system allows to get match tickets easily through online mode.

string-formatting

Involves number systems

unexpected-demand

A hackerRank problem where a manufacturer is facing high demands for his items.